Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain

Wind energy has shown promising advantages in reducing the greenhouse effect by minimizing carbon dioxide emissions to improve earth climate. Wind turbine which falls under the umbrella of renewable energy family promises cleaner environment while generating electricity from wind energy with no bur...

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Main Authors: Toha, Siti Fauziah, Yoshida, Shigeo, Zhu, Hongzhong
Format: Conference or Workshop Item
Language:English
English
English
Published: Elsevier B.V. 2017
Subjects:
Online Access:http://irep.iium.edu.my/57336/
http://irep.iium.edu.my/57336/
http://irep.iium.edu.my/57336/
http://irep.iium.edu.my/57336/1/57336_Torsional%20Vibration_complete.pdf
http://irep.iium.edu.my/57336/2/57336_Torsional%20Vibration_SCOPUS.pdf
http://irep.iium.edu.my/57336/13/57336_Torsional%20vibration%20reduction%20_wos.pdf
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recordtype eprints
spelling iium-573362019-08-17T13:27:00Z http://irep.iium.edu.my/57336/ Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain Toha, Siti Fauziah Yoshida, Shigeo Zhu, Hongzhong T Technology (General) TA Engineering (General). Civil engineering (General) Wind energy has shown promising advantages in reducing the greenhouse effect by minimizing carbon dioxide emissions to improve earth climate. Wind turbine which falls under the umbrella of renewable energy family promises cleaner environment while generating electricity from wind energy with no burnt fossil fuel. However, it portrays challenges in terms of high operating cost due to component failure. Thus this paper discusses on mitigating one of the problems related to wind turbine failure, the torsional vibration reduction in drive train. A generator torque control is investigated together with the particle swarm optimization technique in search for accurate parameters of the controller. This control strategy is a solution to low wind speed areas especially around South East Asian region. An augmented inverse model-based controller and band pass filter is proposed to obtain vibration attenuation at the dominant mode. The modelling endeavor is firstly obtained via particle swarm optimization search capability to obtain an accurate transfer function of the inverse model. A band pass filter (BPF) is then augmented with the inverse model as controller for torsional vibration suppression. Results have shown favorable comparison between the proposed and conventional methods in terms of vibration attenuation level. Elsevier B.V. 2017 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/57336/1/57336_Torsional%20Vibration_complete.pdf application/pdf en http://irep.iium.edu.my/57336/2/57336_Torsional%20Vibration_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/57336/13/57336_Torsional%20vibration%20reduction%20_wos.pdf Toha, Siti Fauziah and Yoshida, Shigeo and Zhu, Hongzhong (2017) Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain. In: IEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2016, 17-20 Dec 2016, Hosei UniversityTokyo; Japan. http://ac.els-cdn.com/S1877050917302648/1-s2.0-S1877050917302648-main.pdf?_tid=c95e5404-5555-11e7-bdeb-00000aab0f27&acdnat=1497921440_7576fb3455ff890014caaf704a215b7f 10.1016/j.procs.2017.01.211
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Toha, Siti Fauziah
Yoshida, Shigeo
Zhu, Hongzhong
Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
description Wind energy has shown promising advantages in reducing the greenhouse effect by minimizing carbon dioxide emissions to improve earth climate. Wind turbine which falls under the umbrella of renewable energy family promises cleaner environment while generating electricity from wind energy with no burnt fossil fuel. However, it portrays challenges in terms of high operating cost due to component failure. Thus this paper discusses on mitigating one of the problems related to wind turbine failure, the torsional vibration reduction in drive train. A generator torque control is investigated together with the particle swarm optimization technique in search for accurate parameters of the controller. This control strategy is a solution to low wind speed areas especially around South East Asian region. An augmented inverse model-based controller and band pass filter is proposed to obtain vibration attenuation at the dominant mode. The modelling endeavor is firstly obtained via particle swarm optimization search capability to obtain an accurate transfer function of the inverse model. A band pass filter (BPF) is then augmented with the inverse model as controller for torsional vibration suppression. Results have shown favorable comparison between the proposed and conventional methods in terms of vibration attenuation level.
format Conference or Workshop Item
author Toha, Siti Fauziah
Yoshida, Shigeo
Zhu, Hongzhong
author_facet Toha, Siti Fauziah
Yoshida, Shigeo
Zhu, Hongzhong
author_sort Toha, Siti Fauziah
title Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
title_short Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
title_full Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
title_fullStr Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
title_full_unstemmed Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
title_sort torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
publisher Elsevier B.V.
publishDate 2017
url http://irep.iium.edu.my/57336/
http://irep.iium.edu.my/57336/
http://irep.iium.edu.my/57336/
http://irep.iium.edu.my/57336/1/57336_Torsional%20Vibration_complete.pdf
http://irep.iium.edu.my/57336/2/57336_Torsional%20Vibration_SCOPUS.pdf
http://irep.iium.edu.my/57336/13/57336_Torsional%20vibration%20reduction%20_wos.pdf
first_indexed 2023-09-18T21:21:02Z
last_indexed 2023-09-18T21:21:02Z
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